% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/datadoc_cces-common-samp.R
\docType{data}
\name{ccc_samp}
\alias{ccc_samp}
\title{Sample cumulative CCES data}
\format{
A data frame with 1000 observations. See the CCES cumulative codebook
for more explanation of the variables
\describe{
\item{year}{Year of the common content}
\item{case_id}{Respondent identifier (unique within each year)}
\item{state}{State (in the form of \code{state.name})}
\item{st}{State Abbreviation (in the form of \code{state.abb})}
\item{cd}{Congressional district at the time of the survey. See \link{ccc_std_demographics}
for how it is and should be standardized.}
\item{zipcode}{Zipcode (See codebook)}
\item{county_fips}{County FIPS code (See codebook)}
\item{gender}{Gender (equivalent to sex in ACS for the purposes of this package)}
\item{age}{Age, in integers}
\item{race}{Race and ethnicity}
\item{hispanic}{Hispanic identifier}
\item{educ}{Education level}
\item{faminc}{Family Income}
\item{marstat}{Martial status}
\item{newsint}{Frequency of following the news}
\item{vv_turnout_gvm}{Validated turnout in general election}
\item{voted_pres_16}{Self-reported vote choice for 2016}
\item{economy_retro}{Opinion on retrospective economy}
}
}
\source{
Kuriwaki, Shiro, 2018, "Cumulative CCES Common Content (2006-2019)",
\url{https://doi.org/10.7910/DVN/II2DB6}, Harvard Dataverse
}
\usage{
ccc_samp
}
\description{
The cumulative CCES stacks CCES common content for all years and harmonizes
the variables, which makes it ideal for using it for MRP.  This is a sample for
illustration; see \link{get_cces_dataverse} to get the full data.
}
\details{
This is encoded as a RDS file with some variables stored in the Stata-based
integer + labelled class instead of as factors. See the CCES cumulative guide
for the difference between the two and how to go from one to another.
}
\examples{
library(ccesMRPprep)
ccc_samp

}
\keyword{datasets}
